iSQI CTFL-PT_D ISTQB Certified Tester Foundation Level - Specialist Performance Testing Exam Practice Test

Dynamic and cloud-based systems introduce performance risks associated with virtualization due to the inherent nature of resource allocation and scalability in these environments. Virtualized systems often share physical resources, leading to potential contention and unpredictable performance impacts. These risks are more pronounced in dynamic/cloud-based architectures where resources are frequently allocated and deallocated based on demand, potentially causing latency, resource bottlenecks, and performance variability. ISTQB guidelines on performance testing emphasize understanding these risks to ensure reliable performance outcomes.

To determine the number of virtual users necessary for the performance test:

Total Transactions Needed:

11,700 transactions are required to simulate the operation.

Conditions of Operations:

The simulation should reflect the realistic load of departing passengers accessing the front-end application.

Virtual Users:

The number of virtual users required is equal to the total number of transactions to be generated in the test since each virtual user performs one transaction.

Thus, the correct answer isB. 11,700virtual users will be necessary to achieve the specified number of transactions under the given conditions.

To determine how many departing passengers access the front-end per hour, including those reconnecting:

Total Departing Passengers in January:

465,000 passengers transported throughout January.

Duration of Operations in January:

Operating hours: 07:00 to 23:00, which equals 16 hours per day.

Total days in January: 31 days.

Total operating hours in January: 31 days * 16 hours/day = 496 hours.

Passengers Per Hour:

Total passengers: 465,000.

Total hours of operation: 496 hours.

Passengers per hour: 465,000 passengers / 496 hours = 937.5 passengers/hour.

Including Reconnecting Passengers:

30% of departing passengers reconnect for a boarding pass.

Reconnecting passengers: 30% of 937.5 passengers/hour = 0.30 * 937.5 = 281.25 passengers/hour.

Total front-end accesses per hour: 937.5 + 281.25 = 1,218.75 passengers/hour.

Given the available options, the closest correct value isA. 1,425.00 departing passengers / hour.

1A: REST - Web service

2C: HTTP - Web

3B: JDBC - Database

4A: SOAP - Web service

5C: HTTPS - Web

This mapping accurately categorizes each protocol according to its common use in performance testing. REST and SOAP are typically used for web services, JDBC for database connectivity, and HTTP/HTTPS for web communications. Understanding these correspondences helps testers select the appropriate protocols for performance testing scenarios, as outlined in ISTQB guidelines.

Mobile applications often face performance risks due to the limited resources available on mobile devices, such as CPU, memory, battery, and network bandwidth. These constraints can significantly impact the performance of mobile applications, leading to slower response times and degraded user experiences. ISTQB performance testing guidelines emphasize considering the specific resource limitations of mobile environments to ensure comprehensive performance evaluation and optimization.

Direct measurement through a performance monitoring tool is the most effective mechanism for extracting metrics associated with deadlocks and multithreading problems. These tools can provide real-time insights into the system’s performance, highlighting issues such as thread contention, deadlocks, and resource bottlenecks. ISTQB performance testing principles advocate the use of specialized monitoring tools to capture detailed performance metrics, facilitating the identification and resolution of complex multithreading issues.

Spike testing involves subjecting a system to a significant increase in load for short periods of time to determine if it can handle sudden spikes in traffic. Emily's scenario of testing a system's responseto a high number of concurrent users during specific periods and then returning to a stable state fits the description of spike testing.

References:

ISTQB Performance Testing Syllabus

ISTQB Glossary

To calculate the number of departing passengers accessing the front-end only once to check in per hour, we follow these steps:

Total Departing Passengers in January:

465,000 passengers transported throughout January.

Duration of Operations in January:

Operating hours: 07:00 to 23:00, which equals 16 hours per day.

Total days in January: 31 days.

Total operating hours in January: 31 days * 16 hours/day = 496 hours.

Passengers Per Hour:

Total passengers: 465,000.

Total hours of operation: 496 hours.

Passengers per hour: 465,000 passengers / 496 hours = 937.5 passengers/hour.

Passengers Accessing Only Once for Check-In:

30% of departing passengers reconnect for a boarding pass, which means 70% access only once.

Passengers accessing only once: 70% of 937.5 passengers/hour = 0.70 * 937.5 = 656.25 passengers/hour.

Given the available options, the closest correct value isC. 625.00 departing passengers / hour.

Virtualizing the servers is not typically part of performance test preparation. Performance test preparation generally involves activities such as deploying the test environment, setting up the system under test, and configuring load generation and monitoring tools to ensure accurate data collection. While virtualization can be an aspect of the overall infrastructure setup, it is not a direct step in preparing for performance testing. ISTQB performance testing guidelines emphasize setting up the environment, system, and tools specifically for performance test execution.

Performance test scripts require meticulous verification and error handling to ensure they function as intended.

Statement III: Manual intervention may be required to carry out remedial action in the event of an error. This is true as certain errors might require human judgment to resolve.

Statement IV: Performance scripts should be subject to quality control and testing, just like any software product. This ensures the reliability and effectiveness of the performance test scripts.

Statements I, II, and V have inaccuracies:

Statement I: Verification using indirect methods can be necessary.

Statement II: While logical rules are important, they are not always mandatory.

Statement V: Default error handling may not be sufficient, and additional checks can be crucial.

References:

ISTQB Performance Testing Syllabus

ISTQB Advanced Test Automation Engineer Syllabus

Aggregating results from performance testing allows for the identification of performance trends, reporting of metrics in an understandable way, and providing stakeholders with insights into the speed of specific business processes. However, it does not necessarily provide an overall status of system performance. Instead, it focuses on detailed metrics and trends. ISTQB guidelines highlight the importance of presenting performance metrics clearly but recognize that aggregated data does not equate to a comprehensive status overview of the entire system's performance.

The main activities of performance test execution include:

I. Monitoring all parts of the environment: Ensures that performance metrics are collected from various components to provide a comprehensive view of the system’s performance.

III. Collecting and keeping all results and information related to the test: Essential for analyzing the performance test outcomes and identifying areas for improvement.

IV. Generation of a load against the SUT according to a load profile: Simulates the expected user load to assess how the system performs under typical and peak conditions.

These activities align with ISTQB guidelines, which emphasize thorough monitoring, data collection, and load generation as critical components of effective performance testing.